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Development of a Robotic Cochlear Implantation System

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Abstract

Traditional cochlear implantation surgery has problems such as high surgical accuracy requirement and large trauma, which cause the difficulty of the operation and the high requirements for doctors, so that only a few doctors can complete the operation independently. However, there is no research on robotic cochlear implantation in China. In response to this problem, a robotic cochlear implantation system is proposed. The robot is controlled by robot operating system (ROS). A simulation environment for the overall surgery is established on the ROS based on the real surgery environment. Through the analysis of the kinematics and the motion planning algorithm of the manipulator, an appropriate motion mode is designed to control the motion of the manipulator, and perform the surgery under the simulation environment. A simple and feasible method of navigation is proposed, and through the model experiment, the feasibility of robotic cochlear implantation surgery is verified.

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References

  1. LIU W P, AZIZIAN M, SORGER J, et al. Cadaveric feasibility study of Da Vinci Si-assisted cochlear implant with augmented visual navigation for otologic surgery [J]. JAMA Otolaryngology: Head & Neck Surgery, 2014, 140(3): 208–214.

    Google Scholar 

  2. BELL B, STIEGER C, GERBER N, et al. A self-developed and constructed robot for minimally invasive cochlear implantation [J]. Acta Oto-Laryngologica, 2012, 132(4): 355–360.

    Article  Google Scholar 

  3. GERBER N, BELL B, GAVAGHAN K, et al. Surgical planning tool for robotically assisted hearing aid implantation [J]. International Journal of Computer Assisted Radiology and Surgery, 2014, 9(1): 11–20.

    Article  Google Scholar 

  4. BELL B, GERBER N, WILLIAMSON T, et al. In vitro accuracy evaluation of image-guided robot system for direct cochlear access [J]. Otology & Neurotology, 2013, 34(7): 1284–1290.

    Article  Google Scholar 

  5. FELDMANN A, ANSO J, BELL B, et al. Temperature prediction model for bone drilling based on density distribution and in vivo experiments for minimally invasive robotic cochlear implantation [J]. Annals of Biomedical Engineering, 2016, 44(5): 1576–1586.

    Article  Google Scholar 

  6. CAVERSACCIO M, GAVAGHAN K, WIMMER W, et al. Robotic cochlear implantation: Surgical procedure and first clinical experience [J]. Acta Oto-Laryngologica, 2017, 137(4): 447–454.

    Article  Google Scholar 

  7. MIROIR M, SZEWCZYK J, NGUYEN Y, et al. Design of a robotic system for minimally invasive surgery of the middle ear [C]//Proceedings of 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (Biorob 2008). Piscataway, NJ: IEEE, 2008: 747–752.

    Chapter  Google Scholar 

  8. MIROIR M, NGUYEN Y, SZEWCZYK J, et al. RobOtol: From design to evaluation of a robot for middle ear surgery [C]//Proceedings of 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). Piscataway, NJ: IEEE, 2010: 850–856.

    Chapter  Google Scholar 

  9. NGUYEN Y, MIROIR M, KAZMITCHEFF G, et al. From conception to application of a tele-operated assistance robot for middle ear surgery [J]. Surgical Innovation, 2012, 19(3): 241–251.

    Article  Google Scholar 

  10. TORRES R, KAZMITCHEFF G, SETA D, et al. Improvement of the insertion axis for cochlear implantation with a robot-based system [J]. European Archives of Oto-Rhino-Laryngology, 2017, 274(2): 715–721.

    Article  Google Scholar 

  11. JOSEPH L. Mastering ROS for robotics programming [M]. Birmingham: Packet Publishing, 2015.

    Google Scholar 

  12. ZUO X, HAN L, ZHUANG J, et al. Design of humanrobot interaction system for space robot using robot operating system [J]. Computer Engineering and Design, 2015, 36(12): 3370–3374 (in Chinese).

    Google Scholar 

  13. AN F. Robot software development based on open-source operating system ROS [J]. Microcontrollers & Embedded Systems, 2017, 17(5): 27–29 (in Chinese).

    Google Scholar 

  14. LAVALLE S M. Rapidly-exploring random trees: A new tool for path planning: TR98-11 [R]. Ames: Lowa State University, 1998.

    Google Scholar 

  15. KUFFNER J J, LAVALLE S M. RRT-connect: An efficient approach to single-query path planning [C]//Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings. Piscataway, NJ: IEEE, 2000: 995–1001.

    Google Scholar 

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Correspondence to Le Xie  (谢 叻).

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Foundation item: the National Natural Science Foundation of China (Nos. 61973211, 62133009, 51911540479 and M-0221), the Science and Technology Commission of Shanghai Municipality (Nos. 21550714200 and 20DZ2220400), the Research Project of Institute of Medical Robotics of Shanghai Jiao Tong University, and the Interdisciplinary Program of Shanghai Jiao Tong University (Nos. YG2017ZD03 and ZH2018QNB31)

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Chen, Z., Xie, L., Dai, P. et al. Development of a Robotic Cochlear Implantation System. J. Shanghai Jiaotong Univ. (Sci.) 27, 7–14 (2022). https://doi.org/10.1007/s12204-021-2381-6

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  • DOI: https://doi.org/10.1007/s12204-021-2381-6

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